/*
* Copyright 2011-2013, by Vladimir Kostyukov and Contributors.
*
* This file is part of la4j project (http://la4j.org)
*
* Licensed under the Apache License, Version 2.0 (the "License");
* You may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* Contributor(s): -
*
*/
package org.la4j.decomposition;
import org.junit.Assert;
import org.la4j.LinearAlgebra;
import org.la4j.Matrix;
import static org.la4j.M.*;
public abstract class AbstractDecompositorTest {
public abstract LinearAlgebra.DecompositorFactory decompositorFactory();
public void performTest(double[][] input, double[][][] output) {
for (Matrix a: ms(input)) {
MatrixDecompositor decompositor = a.withDecompositor(decompositorFactory());
Matrix[] decomposition = decompositor.decompose();
Assert.assertEquals(output.length, decomposition.length);
for (int i = 0; i < decomposition.length; i++) {
Assert.assertTrue(m(output[i]).equals(decomposition[i], 1e-3));
}
}
}
}